
Posted 16 hours ago
Associate Director Machine Learning Engineer
S&P GlobalAssociate Director Machine Learning Engineer
Perks & benefits
Health InsurancePaid LeaveEducation AllowanceFamily Medical Insurance
Requirements
Bachelor's or Master's in Computer Science or Data Science, Expert level Python programming, Experience with AWS Cloud Stack, Machine learning libraries (TensorFlow, PyTorch, scikit-learn), SQL database experience, Big data frameworks (Hadoop, Spark), Version control (Git)
Skills
PythonAWSTensorFlowPyTorchSQLSpark
About the role
Responsibilities
- Develop and implement machine learning models and algorithms for large-scale projects.
- Collaborate with data scientists and software engineers to design and deploy scalable machine learning solutions.
- Conduct data analysis and feature engineering to extract valuable insights from large datasets.
- Optimize and fine-tune machine learning models to improve performance and accuracy.
- Stay up-to-date with the latest advancements in machine learning to enhance existing models.
- Partner with cross-functional teams to define project requirements and deliver high-quality solutions.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Expert-level Python programming skills for writing robust machine learning code.
- Experience with AWS Cloud Stack.
- Proficiency with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
- Experience with SQL databases and big data frameworks like Hadoop or Spark.
- Hands-on experience with the full project lifecycle, from business analysis to productization.
- Strong understanding of deep learning, natural language processing, and computer vision.
- Proficiency in version control tools, preferably Git.
Preferred Qualifications
- Ability to translate complex business problems into solvable data science problems.
- Strong communication skills with the ability to explain technical concepts to non-technical audiences.
- A curious and open-minded attitude toward new technical approaches.
Benefits
- Health & Wellness coverage designed for mind and body.
- Generous flexible downtime and time off.
- Continuous learning resources to support career growth.
- Competitive pay and retirement planning.
- Financial wellness programs and student loan contribution programs.
- Family-friendly perks and retail discounts.
About the Company
S&P Global Market Intelligence delivers unrivaled insights and leading data and technology solutions. We partner with customers to expand their perspective, operate with confidence, and make decisions with conviction by providing essential intelligence that shapes decision-making worldwide.
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Get started — it's freeAssociate Director Machine Learning Engineer
S&P Global · Gurugram
